Natalie Karavarsamis, PhD
14 July, 2020
Dr Natalie Karavarsamis
Academic, Research Data Scientist, Lecturer,
Professional Statistical Consultant, Programmer
@nataliekarav
n.karavarsamis@latrobe.edu.au
nkarav@unimelb.edu.au
Orcid: orcid.org/0000-0002-5920-9736
Natalie on ResearcGate
Curriculum Vitae (CV): click here for download.
Lecturer
Department of Mathematics and Statistics
La Trobe University
Melbourne, Victoria, Australia
Honorary Research Fellow
School of Mathematics and Statistics
University of Melbourne
Victoria, Australia
Roles
- Honorary Research Fellow at University of Melbourne, Australia (2016-Present).
- Lecturer at La Trobe University, Melbourne, Australia (2018-Present).
- Technical sub-editor at the Australian and New Zealand Journal of Statistics (2018-Present)
- Reviewer to several international peer-reviewed journals (2018-Present).
- Local Organising Committee Member ISEC2020 (2019-Present) http://www.isec2020.org
Announcements
International Statistical Ecology Conference, ISEC2020 , UNSW, Sydney, Australia June 22–26, 2020 http://www.isec2020.org
Registratin Now OpenWorkshop for Research School on Statistics and Data Science 2019 (RSSDS2019), La Trobe, Melbourne, Australia, July 24–26, 2019. Topics include Statistics, Data Science and allied fields such as AI and Machine Learning are invited to register. Workshop proceedings published in Springer Communications in Computer and Information Science (CCIS). Webpage and poster.
My Events
June 22–26, 2020. Local organising committe member and accepted speaker. International Statistical Ecology Conference, ISEC2020 , UNSW, Sydney, Australia http://www.isec2020.org
November 2019. Invited Speaker, Department of Neuroscience and Boston Children’s Hospital, Harvard University, USA
November 2019. Invited Speaker, INRIA Statistics Seminar Series, Grenoble, France
October 18, 2019. Invited Speaker, Monash Seminar Series, Monash University, Melbourne, Australia
October 3, 2019. Invited Speaker, RMIT Data Analystics Seminar Series (slides here)
October 7, 2019. Invited Speaker, Subject Selection Fair 2019, La Trobe University, Melbourne, Australia
August 29, 2019. Organising committee member and Invited Speaker. Women in Maths Day, University of Melbourne, Melbourne, Australia
July 24–26, 2019. Invited Speaker and co-Chair, Workshop for Research School on Statistics and Data Science 2019 - RSSDS2019, La Trobe University, Melbourne, Australia. Topics include Statistics, Data Science and allied fields such as AI and Machine Learning are invited to register. Workshop proceedings published in Springer Communications in Computer and Information Science (CCIS). (webpage and poster). My slides here
June 25-27, 2019. Conference Presenter, EcoSta2019 Conference. National Chung Hsing University, Taiwan (conference webpage)
June 19, 2019. Invited Speaker, AMSI Choose Maths Day, La Trobe University, Melbourne, Australia
June 5, 2019. Speaker Joint Seminar, Special seminar joint La Trobe University & Harvard University, La Trobe University, Melbourne, Australia
May 15, 2019. Q&A panel discussion speaker for celebrations for the inaugural International Women in Mathematics Day, in honour of the birthday of Maryam Mirzakhani on 12 May, the first female Fields Medalist (poster)
December 2018. Chair - Statistics Session, AMSI Summer Scholar Conference, Melbourne University
December 2018. Invited Speaker, AMSI Summer Scholar Conference, Melbourne University
November 2018. Supervisor, AMSI Summer Scholar Conference, Melbourne University
July 24 2018. Invited Speaker, La Trobe – Kyushu joint seminar series, La Trobe University, Melbourne, Australia and Kyushu University, Japan (via zoom) (slides here)
July 4-6 2018. Conference Presentation, ISEC 2018, St Andrews University, Scotland (slides here)
Overview
Dr Natalie Karavarsamis is an experienced statistics researcher, data scientist, coder/programmer, lecturer and consultant. Currently Natalie is employed as Lecturer of Statistics at the Department of Mathematics and Statistics at La Trobe University. Natalie is also Honorary Research Fellow at the School of Mathematics and Statistics, University of Melbourne. Natalie serves as technical sub-editor on the Australian and New Zealand Journal of Statistics, and as reviewer on a number of international peer-reviewed journals. Natalie obtained her PhD in Statistics at School of Mathematics and Statistics, University of Melbourne. Prior to completing her PhD Natalie completed a Bachelor of Science Degree and a Bachelor of Science Honours Degree graduating with First Class Honours at University of Melbourne.
Previous academic roles comprise Lecturer at School of Mathematics and Statistics (University of Melbourne), Postdoctoral Research Fellow at School of Biosciences (University of Melbourne) and with School of Mathematical Sciences (RMIT), and Research Fellow at Department of Food and Land Sciences (prior to PhD candidature) (University of Melbourne).
Natalie’s research expertise is in statistical ecology, and in analysing and modelling large longitudinal biological data, genetic data, neuroscience and neuroepigenetic data, medical statistics and financial data.
Natalie is a world leader at developing methods, models and software with modern statistical approaches. For example, for occupancy data with partial likelihoods, conditional and composite likelihoods, GLMs, Gams, IWLS. As well circular statistics, cylindrical distributions and HMMs for large biological data. Natalie has developed R software; her two-stage package for modelling occupancy data (in release).
Natalie has forged global collaborations with Boston Children’s Hospital and Department of Neuroscience at Harvard University (USA), with Statify at INRIA University of Caen (France), and with the School of Biosciences at University of Melbourne, the University of Kent, and La Trobe University.
Natalie has twenty years industry statistical consulting experience and worked on large international industry projects for NGOs, national and international governments, and commercial industries and stakeholders (details in CV).
Natalie’s extensive publication record spans her career as a research academic, professional statistician and consultant (list of publications in CV). Natalie has taught statistics for more than two decades, at tertiary (undergraduate and postgraduate) and professional levels (details in CV). Currently, Natalie co-supervises two PhD candidates in Statistics, and has trained and supervised research assistants and supervises AMSI scholars.
Supervision
- Two PhD candidates - Co-supervisor (2018–Present and 2020–Present)
- Two AMSI Summer Scholars - Supervisor (2018–2019)
Available for Honours, Masters and PhD supervision.
Grants & Awards (selected)
Shortlisted Fulbright candidate, 2019.
Early Researcher Establishment Grant, School of Mathematics and Statistics, University of Melbourne (2016–Present).
Australian-French Association for Research and Innovation (AFRAN) (2018–Present).
Statify (previously MISTIS) invited academic travel grant (2019).
Travel Grant, La Trobe University (2019).
Press & Gallery
2018 AMSI Choose Maths Day, La Trobe